# model settings
norm_cfg = dict(type='SyncBN', eps=0.001, requires_grad=True)
model = dict(
    type='EncoderDecoder',
    backbone=dict(type='MobileNetV3',
                  arch='large',
                  out_indices=(1, 3, 16),
                  norm_cfg=norm_cfg),
    decode_head=dict(type='LRASPPHead',
                     in_channels=(16, 24, 960),
                     in_index=(0, 1, 2),
                     channels=128,
                     input_transform='multiple_select',
                     dropout_ratio=0.1,
                     num_classes=19,
                     norm_cfg=norm_cfg,
                     act_cfg=dict(type='ReLU'),
                     align_corners=False,
                     loss_decode=dict(type='CrossEntropyLoss',
                                      use_sigmoid=False,
                                      loss_weight=1.0)),
    # model training and testing settings
    train_cfg=dict(),
    test_cfg=dict(mode='whole'))
